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AuthorAl-Saleh, Mohammad Fraiwan
AuthorSamuh, Monjed Hisham
Available date2010-01-07T07:56:14Z
Publication Date2007-07-01
Publication NameComputational Statistics and Data Analysis
Identifierhttp://dx.doi.org/10.1016/j.csda.2007.07.002
CitationAl-Saleh, M. F., & Samuh, M. H. (2008). On multistage ranked set sampling for distribution and median estimation. Computational Statistics and Data Analysis, 52, 2066–2078
URIhttp://hdl.handle.net/10576/10625
AbstractA variation of ranked set sampling (RSS), multistage RSS (MSRSS), is investigated for the estimation of the distribution function and some of its quantiles, in particular the median. It is shown that this method is significantly more efficient than simple random sampling (SRS). The method becomes more and more effective as the number of stages r increases. Two estimators of the median based on MSRSS are proposed and compared to the sample median obtained by SRS.
Languageen
PublisherElsevier B.V.
SubjectEmpirical distribution function
Multistage ranked set sampling
Ranked set sampling
Simple random sampling
TitleOn multistage ranked set sampling for distribution and median estimation
TypeArticle
dc.accessType Abstract Only


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